Evaluating Performance of EEG Data-Driven Machine Learning for Traumatic Brain Injury Classification.
Journal:
IEEE transactions on bio-medical engineering
Published Date:
Oct 19, 2021
Abstract
OBJECTIVES: Big data analytics can potentially benefit the assessment and management of complex neurological conditions by extracting information that is difficult to identify manually. In this study, we evaluated the performance of commonly used supervised machine learning algorithms in the classification of patients with traumatic brain injury (TBI) history from those with stroke history and/or normal EEG.